Returns an element-wise x * y.

Used in the notebooks

Used in the guide Used in the tutorials

For example:

x = tf.constant(([1, 2, 3, 4]))
tf.math.multiply(x, x)
<tf.Tensor: shape=(4,), dtype=..., numpy=array([ 1,  4,  9, 16], dtype=int32)>

Since tf.math.multiply will convert its arguments to Tensors, you can also pass in non-Tensor arguments:

<tf.Tensor: shape=(), dtype=int32, numpy=42>

If x.shape is not the same as y.shape, they will be broadcast to a compatible shape. (More about broadcasting here.)

For example:

x = tf.ones([1, 2]);
y = tf.ones([2, 1]);
x * y  # Taking advantage of operator overriding